Project
PDF Parsing / Chunking CLI
A command-line tool concept for extracting, cleaning, chunking, and preparing document content for AI-assisted workflows.
This project explores how structured document content can be extracted from PDFs and prepared for downstream use in search, AI-assisted review, retrieval workflows, or documentation utilities.
PDF content is often difficult to reuse cleanly. Text extraction can lose structure, headings, tables, page context, and logical reading order. For AI workflows, poor input structure can lead to poor retrieval, weak summaries, and unreliable answers.
- Extract text from PDFs while preserving useful page context.
- Clean repeated headers, footers, page numbers, and layout artifacts.
- Split content into useful chunks for review, search, or AI workflows.
- Output structured files such as Markdown or JSON.
- Keep the tool simple enough to run locally from the command line.
Python, command-line workflows, document parsing, Markdown, JSON, AI workflow preparation.
Early project concept. This page will be expanded with implementation notes, examples, screenshots, and repository links as the project develops.